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Incorporating the Soil Gas Gradient Method and Functional Genes to Assess the Natural Source Zone Depletion at a Petroleum-Hydrocarbon-Contaminated Site of a Purification Plant in Northwest China [PDF]

open access: yesLife, 2022
An increasing number of studies have demonstrated that natural source zone depletion (NSZD) in the vadose zone accounts for the majority (90%~99%) of the natural attenuation of light non-aqueous phase liquid (LNAPL).
Zhuo Ning   +5 more
doaj   +2 more sources

Gradient methods with memory [PDF]

open access: yesOptimization Methods and Software, 2021
In this paper, we consider gradient methods for minimizing smooth convex functions, which employ the information obtained at the previous iterations in order to accelerate the convergence towards the optimal solution. This information is used in the form of a piece-wise linear model of the objective function, which provides us with much better ...
Nesterov, Yurii, Florea, Mihai I.
openaire   +4 more sources

New modification of the hestenes-stiefel with strong wolfe line search [PDF]

open access: yes, 2021
. The method of the nonlinear conjugate gradient is widely used in solving large-scale unconstrained optimization since been proven in solving optimization problems without using large memory storage.
Basri, Srimazzura   +2 more
core   +1 more source

Optimal H2 Moment Matching-Based Model Reduction for Linear Systems through (Non)convex Optimization

open access: yesMathematics, 2022
In this paper, we compute a (local) optimal reduced order model that matches a prescribed set of moments of a stable linear time-invariant system of high dimension. We fix the interpolation points and parametrize the models achieving moment-matching in a
Ion Necoara, Tudor-Corneliu Ionescu
doaj   +1 more source

Improved step tracking algorithm based on gradient method [PDF]

open access: yesMATEC Web of Conferences, 2021
The basic principle of the satcom on the move antenna is to detect the error angle between the antenna beam pointing and the satellite direction according to the received satellite signal, and convert it into the corresponding error electrical signal ...
Bei Haohan   +3 more
doaj   +1 more source

Guided Hybrid Modified Simulated Annealing Algorithm for Solving Constrained Global Optimization Problems

open access: yesMathematics, 2022
In this paper, a hybrid gradient simulated annealing algorithm is guided to solve the constrained optimization problem. In trying to solve constrained optimization problems using deterministic, stochastic optimization methods or hybridization between ...
Khalid Abdulaziz Alnowibet   +4 more
doaj   +1 more source

Design of Cascaded Diffractive Optical Elements for Optical Beam Shaping and Image Classification Using a Gradient Method

open access: yesPhotonics, 2023
We present a gradient method for designing cascaded diffractive optical elements (DOEs) consisting of several sequentially located phase DOEs. Using the unitarity property of the operator of light propagation through the cascaded DOE, we obtain explicit ...
Daniil V. Soshnikov   +6 more
doaj   +1 more source

Variability of the Boundary Layer Over an Urban Continental Site Based on 10 Years of Active Remote Sensing Observations in Warsaw

open access: yesRemote Sensing, 2020
Atmospheric boundary layer height (ABLH) was observed by the CHM15k ceilometer (January 2008 to October 2013) and the PollyXT lidar (July 2013 to December 2018) over the European Aerosol Research LIdar NETwork to Establish an Aerosol Climatology ...
Dongxiang Wang   +4 more
doaj   +1 more source

Gradient method with AFEM for parameter-estimation

open access: yesSelecciones Matemáticas, 2023
We consider the adaptive finite element discretization of parameter estimation problems for nonlinear elliptic partial differential equations. The idea is to use a gradient method on the finite-dimensional parameter space for the minimization of the ...
Roland Becker
doaj   +1 more source

Differentially Quantized Gradient Methods

open access: yesIEEE Transactions on Information Theory, 2022
Consider the following distributed optimization scenario. A worker has access to training data that it uses to compute the gradients while a server decides when to stop iterative computation based on its target accuracy or delay constraints. The server receives all its information about the problem instance from the worker via a rate-limited noiseless ...
Chung-Yi Lin   +2 more
openaire   +3 more sources

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